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Suppose \(A\) and \(B\) are independent events. In expression (1.4.6) we showed that \(A^{c}\) and \(B\) are independent events. Show similarly that the following pairs of events are also independent: (a) \(A\) and \(B^{c}\) and (b) \(A^{c}\) and \(B^{c}\).

Short Answer

Expert verified
The provided pairs of events (a) \(A\) and \(B^{c}\), (b) \(A^{c}\) and \(B^{c}\) are indeed independent.

Step by step solution

01

Analyzing Event Pair \(A\) and \(B^{c}\)

To prove that the events \(A\) and \(B^{c}\) are independent, check if their intersection equals the product of their individual probabilities, i.e., does \(P(A \cap B^{c})=P(A)P(B^{c}\)? By using the properties of probabilities, we can express \(P(A \cap B^{c})\) as \(P(A)-P(A \cap B)\). As \(A\) and \(B\) are independent, we have \(P(A \cap B)=P(A)P(B)\), so we can express \(P(A \cap B^{c})\) as \(P(A)-P(A)P(B)\). Hence, \(P(A \cap B^{c})=P(A)(1-P(B))=P(A)P(B^{c})\) since \(B^{c}\) is the complement of \(B\).
02

Analyzing Event Pair \(A^{c}\) and \(B^{c}\)

To prove that the events \(A^{c}\) and \(B^{c}\) are independent, we need to check if their intersection equals the product of their individual probabilities, i.e., does \(P(A^{c} \cap B^{c})=P(A^{c})P(B^{c})\)? By using the properties of probabilities, we can express \(P(A^{c} \cap B^{c})\) as \(1-P(A \cup B)\). Now \(P(A \cup B)=P(A)+P(B)-P(A \cap B)\), and we know that \(A\) and \(B\) are independent, so \(P(A \cap B)=P(A)P(B)\), thus we can express \(P(A^{c} \cap B^{c})\) as \(1-P(A)-P(B)+P(A)P(B) = (1-P(A))(1-P(B))=P(A^{c})P(B^{c})\) since \(A^{c}\) and \(B^{c}\) are the complements of \(A\) and \(B\) respectively.

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Most popular questions from this chapter

Let \(C_{1}, C_{2}, C_{3}\) be independent events with probabilities \(\frac{1}{2}, \frac{1}{3}, \frac{1}{4}\), respectively. Compute \(P\left(C_{1} \cup C_{2} \cup C_{3}\right)\).

Cast a die a number of independent times until a six appears on the up side of the die. (a) Find the \(\operatorname{pmf} p(x)\) of \(X\), the number of casts needed to obtain that first six. (b) Show that \(\sum_{x=1}^{\infty} p(x)=1\). (c) Determine \(P(X=1,3,5,7, \ldots)\). (d) Find the \(\operatorname{cdf} F(x)=P(X \leq x)\).

A French nobleman, Chevalier de Méré, had asked a famous mathematician, Pascal, to explain why the following two probabilities were different (the difference had been noted from playing the game many times): (1) at least one six in four independent casts of a six-sided die; (2) at least a pair of sixes in 24 independent casts of a pair of dice. From proportions it seemed to de Méré that the probabilities should be the same. Compute the probabilities of (1) and (2).

If \(C_{1}\) and \(C_{2}\) are subsets of the sample space \(\mathcal{C}\), show that $$ P\left(C_{1} \cap C_{2}\right) \leq P\left(C_{1}\right) \leq P\left(C_{1} \cup C_{2}\right) \leq P\left(C_{1}\right)+P\left(C_{2}\right) $$

If \(C_{1}, \ldots, C_{k}\) are \(k\) events in the sample space \(\mathcal{C}\), show that the probability that at least one of the events occurs is one minus the probability that none of them occur; i.e., $$ P\left(C_{1} \cup \cdots \cup C_{k}\right)=1-P\left(C_{1}^{c} \cap \cdots \cap C_{k}^{c}\right) $$

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